• DocumentCode
    475712
  • Title

    Study on Fault Diagnosis System of Diesel Engine Fuel Injection System Based on BP Neural Network

  • Author

    Zhang Bin ; Yan Jun ; Tian Cheng

  • Author_Institution
    Eng. Inst. of Eng. Crops, PLAUniv.of Sci.&Tech., Nanjing
  • Volume
    2
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    108
  • Lastpage
    112
  • Abstract
    The BP algorithm and the theory of the artificial neural network are applied in the research of the fault diagnosis of diesel engine fuel injection system. Through study on the diesel engine fuel injection system´s work characteristics and the vibration signal characteristic parameter, gives the method and the step of gathering the vibration signal, set the parameter of BP neural network reasonably, the diesel engine fuel injection system failure diagnostic model is built by using the BP neural network method. The experimental results show that this method can be used to the diesel engine fuel injection system´s failure diagnosis, the recognition of the vibration signal characteristic parameter have high precision, the accuracy of diagnostic system is high.
  • Keywords
    backpropagation; diesel engines; fault diagnosis; fuel systems; mechanical engineering computing; neural nets; vibrations; BP neural network; artificial neural network; diesel engine fuel injection system; fault diagnosis; vibration signal characteristic parameter; Artificial neural networks; Character recognition; Diesel engines; Fault diagnosis; Fuels; Neural networks; Petroleum; Signal analysis; Signal processing; Vibration measurement; Failure diagnoses; Fuel injection system; Neural network; The diesel engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.33
  • Filename
    4609652